24 Months, Fixed-Term, Whole-Time Post
Position Summary
Applications are invited for a Senior Post-Doctoral Researcher position within the School of Computer Science & Information Technology.
External appointments made directly to Senior Post-Doctoral research positions must have previous post-doctoral experience of at least 3 years.
PERCei VE (deriving PERceptual Confidence in cooperative Vehicular Environments) (CONNECT2-T4) will address the challenge of determining believe/confidence in cooperatively shared environmental perception data so that it can be trusted to make a control decision. Cooperative or collaborative perception is widely viewed as the panacea to truly realise autonomous driving, particularly in complex urban environments. The challenge of deriving strong confidence/belief in a vehicle’s perceived environment based on evidence (local & shared sensor readings) is under addressed, as such shared sensor readings may be subject to spatial correlations, occlusions, limited perception range, or sensor specific detection inaccuracies e.g. under certain weather conditions. Thus, the challenge of deriving strong belief originating out of such inconsistent, incomplete and potentially conflicting evidence to determine confidence in environmental perception is a nontrivial challenge.
We are interested to leverage evidence theory/reasoning, otherwise known as the theory of belief functions, or similar techniques to determine perceptual confidence applied to the domain of cooperation perception in a vehicular context. In simple terms: if a vehicle/edge device receives numerous cooperatively shared sensor readings derived out of neighbouring vehicles/infrastructure, and these readings exhibit diverse and perhaps lower confidence levels, the proposed model will fuse these with spatio-temporal and environmental information to derive a higher certainty i.e. confidence in knowing. This will involve a) modelling a complex cooperative urban environment with diverse sensors, weather conditions, mixed levels of autonomy and diverse scenarios, b) investigating approaches such as the Dempster-Shafer (D-S) and others to derive a belief function based on evidence i.e. local/cooperatively shared sensor readings, c) seeking ways to advance D-S beyond evidence only i.e. to derive a belief framework that not only accounts for evidence but also for spatial and temporal correlations and environmental context to overcome potentially contradictory evidence to reduce conflicts in the model d) studying the effect of redundant evidence on belief functions as it can be anticipated that this would reduce conflicts while also acknowledging the trade-off against communication load, and e) considering different degrees of belief based on the same evidence depending on the agent’s evidential demands e.g. a cautious agent like an autonomous device may wish to avoid false negatives and so considers every piece evidence even if contradictory. A human operated device however may want to avoid a high level of false positives and only notify when there is high certainty. PERCei VE will seek to extend this to consider mixed autonomy SAE levels and the implications of their differing evidentiary demands on their operational design domain (ODD).
We are now looking for a Senior Post Doctoral Researcher to join our research team at the nasc research/CONNECT Centre. This position provides an excellent opportunity to join a dynamic and inclusive research team at University College Cork (UCC), working within the large-scale national Science Foundation Ireland funded CONNECT Centre for Future Networks and hosted by UCC’s new nasc research centre within the School of Computer Science & Information Technology (CSIT). The Centre comprises approximately 50 people working on networks, security and systems research. CSIT is a large, research-focused school, participating in many major national and international research collaborations, and with extremely strong links to industry partners.
The research will be carried out under the supervision of Dr Aisling O’ Driscoll and Professor Dirk Pesch. The appointee will work together with other Postdocs and Ph D students on vehicular networking. The researcher will be expected to make significant contributions to the research agenda of the CONNECT research centre, working closely with the Principal Investigators Dr O’Driscoll and Professor Pesch and with academic and industry collaborators. Applications by researchers with an established publication track record appropriate to their career stage are welcomed.
Candidates are expected to have experience in two more of the following: vehicular networks, wireless communication protocols, belief frameworks, cooperative perception and should demonstrate a strong background in mathematical principles and analytical evaluation. Previous knowledge of belief/trust for vehicular cooperative perception is a distinct advantage as is experience with algorithm development and networking simulation. Candidates should have experience of collaborating/engaging with industry demonstrate potential for doing so. In line with our Athena SWAN ambitions we especially encourage women to apply for these positions
Project Title: PERCei VE (deriving PERceptual Confidence in cooperative Vehicular Environments) (CONNECT2-T4)
Post Duration: 24 Months
Salary: €52,193- €56,765 per annum, (IUA PD2 Scale)
For an information package including further details of the post see https://ore.ucc.ie/.
Informal enquiries can be made in confidence to Dr. Aisling O’Driscoll, School of Computer Science & IT. Email: aisling.odriscoll@ucc.ie
Applications must be submitted online via the University College Cork vacancy portal (https://ore.ucc.ie/). Queries relating to the online application process should be referred to recruitment@ucc.ie, quoting the job-title and project name.
Candidates should apply, in confidence, before 12 noon (Irish Local Time) on Wednesday, 2nd October 2024
No late applications will be accepted.
Please note that an appointment to posts advertised will be dependent on University approval, together with the terms of the employment control framework for the higher education sector.
UCC is committed to creating and fully embracing an inclusive environment where diversity is celebrated. As a University we strive to create a workplace that reflects the diversity of our student population where people from a wide variety of backgrounds learn from one another, share ideas, and work collaboratively. UCC is committed to being an employer that recognises the value of diversity amongst its staff. We encourage applicants to consult our policies at https://www.ucc.ie/en/edi/policies/ and initiatives at https://www.ucc.ie/en/edi/implementation/ and we welcome applications from everyone, including those who are underrepresented in the protected characteristics set out in our Equal Opportunities & Diversity Policy.
UNIVERSITY COLLEGE CORK IS AN EQUAL OPPORTUNITIES EMPLOYER